[Remote] Data Engineer (Pricing & Monetization)

Note: The job is a remote job and is open to candidates in USA. Alguna is focused on building customer-facing insights that enhance pricing and monetization decisions. The Data Engineer will create data pipelines and models to facilitate this process while ensuring data quality and improving the developer experience. Responsibilities • Build the data foundation for monetization products: Create the pipelines, models, and metric definitions needed to power pricing and monetization insights • Ship features customers trust, like: Conversion and funnel performance, Cohorts, segmentation, and retention/expansion signals, Usage-to-revenue and feature adoption analysis, Experiment measurement (A/B tests) and learnings, Forecasting, anomaly detection, and 'what changed?' explainability • Build → ship → learn → iterate. Stay close to real usage and feedback • Implement testing, monitoring, and clear definitions so customers can rely on the outputs • Make data work easy for the team: automation, reusable patterns, docs, and observability • Short proposals and decision docs to align quickly and keep context • We’re still finding product-market fit. Not everything will be polished at first; we’ll prioritize learning and customer value Skills • You're user-impact obsessed: You want to build customer-facing insights that help teams make better pricing and monetization decisions, not just internal dashboards • You think in 'insight → action': You care about turning messy data into clear recommendations, experiments, and measurable outcomes • You're a 0→1 builder: You like blank-slate work: defining the data foundation, choosing tools, and setting patterns for how we build data products at Alguna • You're comfortable with ambiguity: Early-stage means fuzzy requirements and shifting priorities. You can still ship and iterate quickly • You're pragmatic and fast: You ship the simplest thing that delivers value, then refine once you learn what customers actually use • You're autonomous: You can make good decisions, unblock yourself, and own problems end-to-end • You're efficiency-obsessed: You automate repetitive work, reduce manual analysis, and shorten feedback loops • You're AI-enabled: You use AI tools to accelerate development, debugging, testing, documentation, and analysis—while owning correctness and security • You've done this in production: You've built and operated a data stack before (0→1 or close to it) • 0→1: Build the data foundation for monetization products: Create the pipelines, models, and metric definitions needed to power pricing and monetization insights • Customer-facing insights: Ship features customers trust, like: Conversion and funnel performance, Cohorts, segmentation, and retention/expansion signals, Usage-to-revenue and feature adoption analysis, Experiment measurement (A/B tests) and learnings, Forecasting, anomaly detection, and 'what changed?' explainability • Move fast with customers: Build → ship → learn → iterate. Stay close to real usage and feedback • Data quality and trust: Implement testing, monitoring, and clear definitions so customers can rely on the outputs • Improve internal developer experience: Make data work easy for the team: automation, reusable patterns, docs, and observability • Write it down: Short proposals and decision docs to align quickly and keep context • Be pragmatic: We're still finding product-market fit. Not everything will be polished at first; we'll prioritize learning and customer value Company Overview • Alguna is a modern pricing, quoting and billing platform. It was founded in 2023, and is headquartered in San Francisco, California, USA, with a workforce of 11-50 employees. Its website is Apply tot his job